Limits on Learning Machine Accuracy Imposed by Data Quality
Abstract
Random errors and insufficiencies in databases limit the perfor(cid:173) mance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the limiting perfor(cid:173) mance of classifiers imposed by the database. We demonstrate this technique on the task of predicting failure in telecommunication paths.
Cite
Text
Cortes et al. "Limits on Learning Machine Accuracy Imposed by Data Quality." Neural Information Processing Systems, 1994.Markdown
[Cortes et al. "Limits on Learning Machine Accuracy Imposed by Data Quality." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/cortes1994neurips-limits/)BibTeX
@inproceedings{cortes1994neurips-limits,
title = {{Limits on Learning Machine Accuracy Imposed by Data Quality}},
author = {Cortes, Corinna and Jackel, L. D. and Chiang, Wan-Ping},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {239-246},
url = {https://mlanthology.org/neurips/1994/cortes1994neurips-limits/}
}